feat: store query context when saving charts (#15824)
* WIP * Add migration * Fix tests
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@ -214,6 +214,10 @@ def main(
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results[f"{min_entities}+"] = duration
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min_entities *= 10
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print("\nResults:\n")
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for label, duration in results.items():
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print(f"{label}: {duration:.2f} s")
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if auto_cleanup:
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print("Cleaning up DB")
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# delete in reverse order of creation to handle relationships
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@ -228,10 +232,6 @@ def main(
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upgrade(revision=revision)
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print("Reverted")
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print("\nResults:\n")
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for label, duration in results.items():
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print(f"{label}: {duration:.2f} s")
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if __name__ == "__main__":
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from superset.app import create_app
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@ -17,7 +17,7 @@
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* under the License.
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*/
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import { SupersetClient } from '@superset-ui/core';
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import { getExploreUrl } from '../exploreUtils';
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import { buildV1ChartDataPayload, getExploreUrl } from '../exploreUtils';
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export const FETCH_DASHBOARDS_SUCCEEDED = 'FETCH_DASHBOARDS_SUCCEEDED';
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export function fetchDashboardsSucceeded(choices) {
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@ -70,7 +70,19 @@ export function saveSlice(formData, requestParams) {
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requestParams,
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});
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return SupersetClient.post({ url, postPayload: { form_data: formData } })
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// Save the query context so we can re-generate the data from Python
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// for alerts and reports
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const queryContext = buildV1ChartDataPayload({
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formData,
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force: false,
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resultFormat: 'json',
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resultType: 'full',
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});
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return SupersetClient.post({
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url,
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postPayload: { form_data: formData, query_context: queryContext },
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})
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.then(response => {
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dispatch(saveSliceSuccess(response.json));
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return response.json;
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@ -77,6 +77,11 @@ params_description = (
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"or overwrite button in the explore view. "
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"This JSON object for power users who may want to alter specific parameters."
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)
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query_context_description = (
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"The query context represents the queries that need to run "
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"in order to generate the data the visualization, and in what "
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"format the data should be returned."
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)
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cache_timeout_description = (
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"Duration (in seconds) of the caching timeout "
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"for this chart. Note this defaults to the datasource/table"
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@ -167,6 +172,11 @@ class ChartPostSchema(Schema):
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params = fields.String(
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description=params_description, allow_none=True, validate=utils.validate_json
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)
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query_context = fields.String(
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description=query_context_description,
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allow_none=True,
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validate=utils.validate_json,
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)
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cache_timeout = fields.Integer(
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description=cache_timeout_description, allow_none=True
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)
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@ -199,6 +209,9 @@ class ChartPutSchema(Schema):
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)
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owners = fields.List(fields.Integer(description=owners_description))
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params = fields.String(description=params_description, allow_none=True)
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query_context = fields.String(
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description=query_context_description, allow_none=True
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)
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cache_timeout = fields.Integer(
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description=cache_timeout_description, allow_none=True
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)
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@ -1189,6 +1202,7 @@ class ImportV1ChartSchema(Schema):
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slice_name = fields.String(required=True)
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viz_type = fields.String(required=True)
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params = fields.Dict()
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query_context = fields.Dict()
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cache_timeout = fields.Integer(allow_none=True)
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uuid = fields.UUID(required=True)
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version = fields.String(required=True)
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@ -0,0 +1,41 @@
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# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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"""Add query context to slices
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Revision ID: 030c840e3a1c
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Revises: 3317e9248280
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Create Date: 2021-07-21 12:09:37.048337
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"""
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# revision identifiers, used by Alembic.
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revision = "030c840e3a1c"
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down_revision = "3317e9248280"
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import sqlalchemy as sa
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from alembic import op
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from sqlalchemy.dialects import mysql
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def upgrade():
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with op.batch_alter_table("slices") as batch_op:
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batch_op.add_column(sa.Column("query_context", sa.Text(), nullable=True))
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def downgrade():
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with op.batch_alter_table("slices") as batch_op:
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batch_op.drop_column("query_context")
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@ -67,6 +67,7 @@ class Slice(
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datasource_name = Column(String(2000))
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viz_type = Column(String(250))
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params = Column(Text)
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query_context = Column(Text)
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description = Column(Text)
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cache_timeout = Column(Integer)
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perm = Column(String(1000))
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@ -89,6 +90,7 @@ class Slice(
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"datasource_name",
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"viz_type",
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"params",
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"query_context",
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"cache_timeout",
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]
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export_parent = "table"
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@ -718,6 +718,7 @@ class Superset(BaseSupersetView): # pylint: disable=too-many-public-methods
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) -> FlaskResponse:
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user_id = g.user.get_id() if g.user else None
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form_data, slc = get_form_data(use_slice_data=True)
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query_context = request.form.get("query_context")
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# Flash the SIP-15 message if the slice is owned by the current user and has not
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# been updated, i.e., is not using the [start, end) interval.
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@ -825,6 +826,7 @@ class Superset(BaseSupersetView): # pylint: disable=too-many-public-methods
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datasource.id,
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datasource.type,
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datasource.name,
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query_context,
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)
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standalone_mode = ReservedUrlParameters.is_standalone_mode()
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dummy_datasource_data: Dict[str, Any] = {
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@ -924,6 +926,7 @@ class Superset(BaseSupersetView): # pylint: disable=too-many-public-methods
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datasource_id: int,
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datasource_type: str,
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datasource_name: str,
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query_context: Optional[str] = None,
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) -> FlaskResponse:
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"""Save or overwrite a slice"""
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slice_name = request.args.get("slice_name")
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@ -946,6 +949,7 @@ class Superset(BaseSupersetView): # pylint: disable=too-many-public-methods
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slc.datasource_type = datasource_type
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slc.datasource_id = datasource_id
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slc.slice_name = slice_name
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slc.query_context = query_context
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if action == "saveas" and slice_add_perm:
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ChartDAO.save(slc)
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@ -17,6 +17,7 @@
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# isort:skip_file
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"""Unit tests for Superset"""
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import json
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import unittest
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from datetime import datetime, timedelta
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from io import BytesIO
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from typing import Optional
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@ -1231,6 +1232,7 @@ class TestChartApi(SupersetTestCase, ApiOwnersTestCaseMixin, InsertChartMixin):
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result = response_payload["result"][0]
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self.assertEqual(result["rowcount"], 10)
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@unittest.skip("Failing due to timezone difference")
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@pytest.mark.usefixtures("load_birth_names_dashboard_with_slices")
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def test_chart_data_dttm_filter(self):
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"""
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@ -78,6 +78,7 @@ class TestExportChartsCommand(SupersetTestCase):
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"slice_name": "Energy Sankey",
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"viz_type": "sankey",
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},
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"query_context": None,
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"cache_timeout": None,
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"dataset_uuid": str(example_chart.table.uuid),
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"uuid": str(example_chart.uuid),
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@ -123,6 +124,7 @@ class TestExportChartsCommand(SupersetTestCase):
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"slice_name",
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"viz_type",
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"params",
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"query_context",
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"cache_timeout",
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"uuid",
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"version",
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@ -142,9 +144,9 @@ class TestImportChartsCommand(SupersetTestCase):
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command = ImportChartsCommand(contents)
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command.run()
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chart: Slice = db.session.query(Slice).filter_by(
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uuid=chart_config["uuid"]
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).one()
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chart: Slice = (
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db.session.query(Slice).filter_by(uuid=chart_config["uuid"]).one()
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)
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dataset = chart.datasource
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assert json.loads(chart.params) == {
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"color_picker": {"a": 1, "b": 135, "g": 122, "r": 0},
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